Rekodi ya ushahidi wa mbinu

Secure Multi-Party Computation

Secure Multi-Party Computation (SMPC) is a cryptographic paradigm that enables two or more parties to jointly compute a function over their private inputs without revealing those inputs to one another. Introduced by Andrew Yao in 1982 through his seminal garbled-circuit construction, SMPC provides provable privacy guarantees grounded in computational hardness assumptions. It underpins modern privacy-preserving data analysis, enabling collaborative computation on sensitive datasets in finance, healthcare, and machine learning.

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Secure Multi-Party Computation (SMPC)

Rekodi ya mbinu ya kiajenda · ml-model / privacy

Yao, A. C. (1982). Protocols for secure computations. 23rd Annual Symposium on Foundations of Computer Science, 160–164. · DOI 10.1109/SFCS.1982.38

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Taxonomic bucketDifferential Privacymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFederated Learningmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketk-Anonymitymachine-suggested · Relational suggestion, not evidence.